Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6510FA19000694B43238EDDE226BB27F0D7811DCBD27C0469FA45FD97F5E189F6D492 |
|
CONTENT
ssdeep
|
48:TG6pXmEw79ByGDpJx5O+Qtyc8G6sGgam9BD9FE49ZbEi9M6K+HuRSBCf:TG6JmN7zyUpJjO+QtBd6Pgam9BD9FE4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff260067ff980067 |
|
VISUAL
aHash
|
0000009981010000 |
|
VISUAL
dHash
|
00804d7171499000 |
|
VISUAL
wHash
|
0b03839b9b831f0f |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
0170260d0d267001,7ff080160e88f07e,00804d7171499000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 32 techniques to evade detection by security scanners and make reverse engineering more difficult.